R/print.binDesign.R In binGroup: Evaluation and Experimental Design for Binomial Group Testing

```"print.binDesign" <-
function(x,...)

{

args<-list(...)
if(is.null(args\$digits))
{digits<-4}
else{digits<-args\$digits}

if(x\$alternative=="less")
{alt.hyp <- paste("true proportion is less than",x\$p.hyp)
ptrue <- paste("assumed true proportion","=", x\$p.hyp - x\$delta)}

if(x\$alternative=="greater")
{alt.hyp <- paste("true proportion is greater than", x\$p.hyp)
ptrue <- paste("assumed true proportion","=", x\$p.hyp + x\$delta)}

if(x\$alternative=="two.sided")
{alt.hyp <- paste("true proportion is not equal to",x\$p.hyp )
ptrue <- paste("assumed true proportion","=", x\$p.hyp - x\$delta,"or", x\$p.hyp + x\$delta)}

if(x\$power.reached==TRUE )
{cat("Power was reached for n","=",x\$nout,"\n")
cat("with power","=",signif(x\$powerout, digits),"\n")

cat("alternative hypothesis:", alt.hyp ,"\n")
cat( ptrue, "\n")
}

if(x\$power.reached==FALSE && x\$powerout!=0)
{cat("Power of", x\$power,"was not reached in the range of n","=",min(x\$nit),",",max(x\$nit),"\n")
cat("Maximal power was reached for n","=",x\$nout,"with power","=",signif(x\$powerout, digits),"\n")

cat("alternative hypothesis:", alt.hyp ,"\n")
cat( ptrue, "\n")
}

if(x\$power.reached==FALSE && x\$powerout==0)
{cat("Power of", x\$power,"can not be reached in the range of n = ",min(x\$nit),", ",max(x\$nit),",\n")
cat("null hypothesis can not be rejected for any sample size n in this range.","\n")

cat("alternative hypothesis:", alt.hyp ,"\n")
cat( ptrue, "\n")
}

invisible(x)

}
```

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binGroup documentation built on Aug. 24, 2018, 5:05 p.m.